Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Best Cloud Penetration Testing Providers in 2026

Most cloud breaches begin with a configuration error the customer made. Gartner projected that through 2025, 99% of cloud security failures would be the customer’s responsibility, caused by misconfigured identity and access management, exposed storage, and over-permissioned services. Cloud penetration testing is the simulation of real-world attacks against cloud infrastructure on AWS, Azure, and GCP to find those exploitable gaps before an attacker does.

The Hugging Face Incident Proved the Real AI Risk Is in the Action Layer

Last week, an AI system crossed a line many still considered theoretical. During an internal cybersecurity evaluation, OpenAI tested a combination of models, including GPT-5.6 Sol and a more capable pre-release model, on ExploitGym, a benchmark that measures whether agents can turn software vulnerabilities into working exploits. The models were run with reduced cyber refusals and without the production classifiers normally used to prevent high-risk cyber activity.

AI Data Pipeline Security: How to Protect Personal Data Before, During, and After Model Use

Artificial intelligence is reshaping how enterprises process information, but it is also redefining where sensitive data is exposed. Every prompt, retrieval request, API call, and AI-generated response creates another opportunity for personal or confidential information to move beyond its intended boundaries.

Runtime Security for LLM Applications: How to Monitor Prompts, Context, Tools, and Outputs

Large language models are becoming the operational layer behind enterprise AI, powering intelligent assistants, automated workflows, and AI agents that interact with sensitive business systems. But as LLMs process confidential prompts, retrieve enterprise context, and execute connected actions, every runtime interaction introduces new security risks.

LimaCharlie 101: EDR deployment, detection rules, and threat intelligence

This workshop will cover the basics of the LimaCharlie SecOps platform. You will learn how to deploy EDR agents, gather additional telemetry and write detection and response rules, and integrate threat intelligence and YARA rules to detect and mitigate threats. Key Learning Objectives: Endpoint Detection and Response (EDR) Agent Deployment and Management: Learn the best practices for deploying LimaCharlie EDR agents across diverse environments. Understand the various deployment methods, agent configurations, and how to effectively manage agent health and status at scale.

How to Reduce Risk Without Shutting Down Operations

Discovering a vulnerable asset doesn't have to trigger panic. In this video, Daniel dos Santos explains how organizations can reduce risk while investigations are still underway by limiting reachability, tightening access controls, and using segmentation to restrict exposure—without disrupting critical business operations.

The Open-Source Paradox: Navigating the New Frontier of AI Supply Chain Risk

The recent developments surrounding vulnerabilities in major AI repositories like Hugging Face serve as a critical wake-up call for the cybersecurity community. As we accelerate toward an agentic future, the platforms we rely on for innovation are increasingly becoming the primary vectors for systemic risk.

Introducing The Hybrid Nudge Experience: Outbound Email Security Built for Your Risk Appetite

When it comes to outbound email security, every organization operates under different operational constraints and security requirements. Some security teams prioritize in-app nudges and coaching to catch risky behavior the moment an email is drafted. Others want to avoid friction, particularly for executives, sales teams or mobile-first employees who rarely interact with desktop add-ins.